Назад
17 дней назад

Manager, Field Engineering (Specialist) - HCLS

197 100 - 271 050$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Field Engineering (Specialist) - HCLS (Healthcare and Life Sciences): Leading and scaling Specialist Solutions Architect teams that drive Databricks product adoption and production use cases in healthcare and life sciences with an accent on complex data, regulatory, and industry-specific solutions. Focus on building technical teams, guiding pre-sales and post-sales collaboration, and accelerating data and AI consumption across genomics, clinical trials, healthcare, and related use cases.

Location: Northeast, United States

Salary: $197,100–$271,050 USD annually

Company

Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.

What you will do

  • Lead, hire, and scale a team of Specialist Solutions Architects supporting Solutions Architect and Delivery Solutions Architect organizations.
  • Drive Databricks product adoption and accelerate healthcare and life science use cases into production.
  • Guide the team in communicating complex, outcome-based technical results that increase customer value and platform consumption.
  • Build a collaborative culture and establish processes that improve efficiency across technical field teams.
  • Collaborate with Sales, Marketing, Support, Product Development, Operations, and other Field Engineering teams on vertical consumption and business targets.

Requirements

  • At least 2 years of experience leading, building, and guiding teams.
  • Experience designing and implementing complex, large-scale solutions in healthcare and life sciences.
  • Strong knowledge of HIPAA, GDPR, HL7, FHIR, and DICOM.
  • Experience in senior pre-sales or post-sales roles involving Big Data, Cloud, or SaaS professionals.
  • Technical background in Data Engineering, database technologies, or Data Science, with knowledge of AI and cloud software models.
  • Bachelor's degree in a STEM subject; an MSc is desirable.

Nice to have

  • Experience with genomics, bioinformatics, clinical trials, drug discovery, real-world evidence, or precision medicine.
  • Experience with electronic health records, telemedicine, medical imaging, or price transparency.
  • Experience scaling and mentoring field or technical teams from scratch in a hyper-growth environment.

Culture & Benefits

  • Employee benefits and perks are provided according to the employee's region.
  • Annual performance bonus and equity may be included in the total compensation package.
  • Inclusive workplace with equal employment opportunity practices.

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